NatWest Group Machine Learning Engineer role is a senior-level opportunity for experienced professionals who are passionate about deploying, automating, and monitoring machine learning models in real-world production environments. This position is based in Bangalore, India, and all standard working days must be carried out within India.
In this role, you will work at a Vice President (VP) level, contributing directly to the design, deployment, and maintenance of advanced machine learning solutions that support NatWest Group’s business strategy and customer experience. If you enjoy solving complex problems, working with large datasets, and turning data science prototypes into scalable production systems, this role offers strong career growth and long-term impact.
NatWest Group provides flexible working options, including hybrid working models and adaptable hours, helping employees thrive both professionally and personally.
About NatWest Group
NatWest Group is a leading banking and financial services organization serving millions of customers across the UK and internationally. The group focuses on using technology, data, and analytics to deliver secure, efficient, and customer-centric financial solutions.
With a strong emphasis on innovation, responsible banking, and digital transformation, NatWest Group invests heavily in advanced analytics, artificial intelligence, and machine learning to improve decision-making, manage risk, and enhance customer outcomes. Joining NatWest means working in a collaborative environment where data-driven thinking plays a critical role in shaping the future of financial services.
Role Overview
As a Machine Learning Engineer at NatWest Group, you will be responsible for driving the deployment, automation, monitoring, and continuous improvement of machine learning models. Your work will ensure that models operate effectively in production environments while maintaining quality, performance, and reliability.
You will collaborate closely with data scientists, engineers, and business stakeholders to productionise machine learning solutions and align them with strategic business goals. The role also involves promoting data literacy and helping non-technical stakeholders understand how machine learning can support business decisions.
Key Responsibilities
- Design and develop advanced machine learning products that power customer-facing and internal systems
- Transform data science prototypes into scalable, production-ready machine learning solutions
- Codify and automate complex machine learning pipelines, including optimisation and orchestration
- Collaborate with cross-functional teams to plan, manage, and deliver large or complex projects
- Work closely with business stakeholders to understand requirements and translate them into effective ML solutions
- Productionise machine learning models, including pipeline design, testing, deployment, and validation
- Create frameworks to monitor model performance, accuracy, and quality in production environments
- Identify model degradation and implement retraining or optimisation strategies
- Lead direct reports and contribute to Agile delivery within multidisciplinary data and analytics teams
- Ensure machine learning solutions align with business strategy, risk management, and regulatory expectations
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | STEM background (Computer Science, Engineering, Mathematics, Physics or similar) |
| Experience Level | Experienced professional (Senior / VP-level role) |
| Location | Bangalore, India |
| Job Type | Full-Time |
| Domain Exposure | Machine Learning, Data Science, Production ML Systems |
| Industry Knowledge | Financial services experience preferred |
Expected Salary 💰 (Market Estimate)
The expected salary for a Machine Learning Engineer (VP level) at NatWest Group in Bangalore is estimated to range between ₹35 LPA – ₹55 LPA, based on current market trends for senior machine learning and AI engineering roles within large financial institutions.
Required Skills and Experience
- Strong academic background in a STEM discipline
- Proven experience working with machine learning on large-scale datasets
- Hands-on experience building, testing, deploying, and supporting ML models in production
- Strong understanding of machine learning algorithms and modelling approaches
- Experience with CI/CD tools such as Git, TeamCity, and CodeDeploy
- Proficiency in Python and Bash scripting
- Exposure to AWS SageMaker and cloud-based ML deployments
- Ability to synthesise, translate, and visualise insights for business stakeholders
- Understanding of financial services, risk, and regulatory considerations
- Excellent communication skills with the ability to engage proactively with diverse stakeholders
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Why Join NatWest Group?
- Work on enterprise-scale machine learning systems in a global banking environment
- Opportunity to influence strategic decision-making through data and AI
- Exposure to large, complex datasets and real-world production challenges
- Strong focus on learning, innovation, and career development
- Flexible and hybrid working options for better work-life balance
- Inclusive and collaborative culture with strong leadership support
How to Apply
Candidates should prepare a detailed resume highlighting machine learning projects, production deployments, CI/CD experience, and business impact. Emphasize experience in transforming data science models into scalable systems, leadership contributions, and collaboration with stakeholders.
Apply by clicking the Apply button below and ensure your profile clearly reflects your expertise in machine learning engineering and production systems.
Disclaimer
The information provided in this job post is collected from official and publicly available sources. We do not charge any fees for job or recruitment-related processes and do not guarantee selection or employment. Applicants are advised to verify all details through official NatWest Group channels. We are not responsible for any loss or damage arising from reliance on the information shared above.
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